Federal and State Public Forest Administration in the New Millennium: Revisiting Herbert Kaufman's The Forest Ranger

Herbert Kaufman's 1960 investigation of federal forest rangers provided important insights into administrative discretion, agency culture, and natural resource policy making. Subsequent studies of Forest Service administration have documented that agency's change over time, mirroring broad changes in federal public administration. But little is known about state forest administration. This article describes results from a survey of line officers in 48 state forest agencies, as well as state forest statute analysis. Results indicate systematic state–federal differences in legal constraints, citizen interactions, and the forest administrators themselves. Though these differences foster state administrator decision making based on professional expertise, they do not encourage the incorporation of stakeholder views into agency policy making, nor do they yield a bureaucracy that represents a diverse constituency. State forest administrators perceive substantial external challenges to their professional discretion, but it remains to be seen whether state forest agencies will change to more closely resemble their federal counterpart.     

Equilibrium and efficiency in an organized vote market

We study an organized market for votes, in which trade is directed by a market "specialist". This market mechanism always produces an equilibrium outcome, and whenever vote buying occurs the alternative chosen is Pareto superior to the alternative that would be chosen without trade. We then characterize the equilibrium outcomes in a one-dimensional policy space, and show that if the distribution of ideal points is skewed enough, then the equilibrium with vote buying differs from the equilibrium without vote buying (the median ideal point). This difference reflects the ability of an intense minority to obtain a policy it prefers in exchange for side-payments.     

Evaluation of the (hu)MANid program for sex and ancestry estimation in a diverse,contemporary CT scan-based sample

Human remains from forensic and bioarcheological contexts are often fragmentary, requiring methods for estimating a forensic profile that are based upon limited skeletal features. In 2017, Berg and Keryhercz created an online application, (hu)MANid, that provides sex and ancestry estimation from mandibular morphoscopic traits and linear measurements. In this study, we examine the utility of the (hu)MANid application in a diverse, urban US adult sample (aged 20–45; n = 143) derived from computed tomography (CT) scans. We secondarily conduct a preliminary analysis of the program's utility in a sample of adolescents (aged 15–17; n = 40). Six morphoscopic, and eleven morphometric traits were recorded as directed by the literature associated with the (hu)MANid program. Percent correct classification and posterior predictive values were calculated for the sex and ancestry estimations output by the program; chi-squared tests were employed to compare self-reported and predicted ancestry. In the adult sample, sex was accurately predicted for 75.52% of the sample. Ancestry prediction, however, was less favorable ranging from 19.3% to 50% correct. For the adolescent sample, correct sex estimation (45%) did not surpass what could occur by chance alone, though ancestry prediction fared better than in the larger adult sample (percent correct prediction overall average: 47.5%, range 35.71%–71.43%). The (hu)MANid application shows utility for use with CT scan-derived adult samples for sex estimation, but caution is warranted for ancestry estimation and use with samples that may not have reached full adult maturity.     

Society and the Second Age of Machines: Algorithms Versus Ethics

The term “Second Machine Age” was used by Erik Brynjolfsson and Andrew McAfee in their book of the same name as an indication of the impact of AI technology on people, society, and the economy. The term seeks to analyse the age we actually live in, its hidden patterns, which jobs and fields of study have a perspective, and which do not. It is about the second industrial revolution that is going on right now, and it changes the world no less radically than the first one, driven by the steam locomotive. Exponential growth of digital technologies, digitization of everything and recombinant innovation is a driving engine and fuel of the Second Machine Age. However, the ethical issues of this change remain unaddressed. Artificial intelligence is currently being dealt with by a great many scientists and philosophers who ask many questions. The most important questions are whether the machines can think, whether we will give them the copyright, which the animals do not have until now, and the question whether AI can has its own ethics. The study focuses on these issues, and uses concrete examples to show our unpreparedness for these topics.     

Who catches the biotech train? Understanding diverging political responses to GMOs in Southeast Asia

Agricultural biotechnology in general and ‘genetically modified organisms’ in particular present, depending on whom you believe, either great opportunities for – or threats to – the future of farming and of food security in Southeast Asia. As a reflection of this cognitive rift, countries in the region have adopted divergent policies on genetically modified crops. Although both countries strove to become biotech pioneers in the 1990s, today the Philippines has emerged as the regional leader in this second Green Revolution, whereas Thailand effectively has rejected the new technology. How can we explain these divergent biotechnological trajectories? In this essay I argue that the answer is to be found in the impact of the Asian financial crisis of 1997, which paved the way for mobilization and empowerment of opponents of agricultural biotechnology in Thailand, but not, or much less so, in the Philippines. In Thailand, genetically modified crops came increasingly to be perceived as incompatible with an ascendant and eventually hegemonic new development paradigm – sufficiency economy.     

Rape Victim Blaming as System Justification: The Role of Gender and Activation of Complementary Stereotypes

This research examined reactions towards female rape victims from a system justification perspective. Study 1 demonstrated that gender-related system justification motivation (Modern Sexism) predicted the propensity to blame a female rape victim among men, but not among women. Modern sexism predicted rape victim blaming among men even when statistically controlling for a general antipathy towards women, and the results were unaffected by social desirability concerns. Consistent with previous study on system justification theory, we demonstrated in Study 2 that system justification motivation can predict victim blaming also among women, provided that complementary stereotypes about women have been activated. By contrast, system justification motivation predicted men’s propensity to blame a rape victim irrespective of whether complementary stereotypes about women had been experimentally activated.     

Typing of 49 autosomal SNPs by SNaPshot in the Slovenian population

A total of 157 unrelated individuals residing in Slovenia were typed for 49 of the autosomal single nucleotide polymorphisms (SNPs) in the SNPforID 52plex with the SNaPshot^® assay. We obtained full SNP profiles in all but one individual and perfect concordance was obtained in duplicated analyses. Allele frequencies are presented for the 49 SNPs. No deviation from HWE was observed for any SNP. F_IS and F_ST were estimated. A principal coordinate analysis performed on six populations (Slovenian, Danish, Somali, Greenland, Turkish and Chinese) showed that the Slovenian population grouped with the Danish population. The mean power of discrimination for the Slovenian population was 1.1 × 10⁻¹⁹, and the mean exclusion probability for trios was 99.96%.